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Innovation examples
HealthToxicology
Zebrafish in toxicity testing
Zebrafish are increasingly recognised as a useful model for toxicity testing of chemical substances. Testing strategies are becoming more based on mechanisms of toxicity structured in adverse outcome pathways describing the chain of events leading to toxicity or disease. Using a battery of dedicated in vitro and in silico assays, insight can be gained in how exposure leads to disease. For certain diseases it is known that toxicity relies on the interaction between different organs and cell types, which requires research on whole organisms in addition to simple in vitro models. The zebrafish is considered a valuable whole organism model in a mechanism-based testing strategy. At RIVM, the zebrafish embryo model is used for testing the effect of chemical substances on several adverse outcomes and diseases.
For more information see: https://ehp.niehs.nih.gov/doi/10.1289/EHP9888; https://doi.org/10.3390/ijerph18136717; www.linkedin.com/in/harm-heusinkveld
Innovation examples
ToxicologyIn vitroOrgan-on-Chip
Cartilage-on-a-chip for studying joint degenerative diseases
Carlo Alberto Paggi is currently a PhD candidate at the University of Twente in the research group of Prof. Marcel Karperien and Prof. Séverine Le Gac. Karperien’s lab focus on the biological aspects of osteoarthritic research while Le Gac’s specialize in organ-on-chip development. The project of Carlo Alberto is developing a joint-on-chip platform to create a reliable in vitro model to study disease progression in osteo- or rheumatoid arthritis. The model combines different organ-on-chips aimed at replicating each a tissue around the joint such as cartilage, bone and ligaments. This new technology focuses on better reproducing human models and at substituting the use of animal models for drug research. If you want to know something more about the project and the groups, you can follow the link in the video.
Carlo Paggi was nominated for the Hugo van Poelgeest prize for his research on a cartilage-on-a-chip model to study joint degenerative diseases
Karperien’s lab of Developmental Bioengineering: https://www.utwente.nl/en/tnw/dbe/
Le Gac’s lab of Applied Microfluidics for BioEngineering Research: http://www.severinelegac.com/
Linkedin: https://www.linkedin.com/in/carlo-alberto-paggi-76500b135/
Innovation examples
HealthToxicologyIn silico
Predictive computer models for protein binding
In this video Linde Schoenmaker (Leiden University) explains how she and her colleagues are making computer models to predict the safety of new chemicals within the VHP4Safety project.
Innovation examples
ToxicologyInnovationIn vitro
Human neuronal cell models for in vitro neurotoxicity screening and seizure liability assessment
Anke Tukker was a PhD candidate in the Neurotoxicology Research group of Dr. Remco Westerink at the Institute for Risk Assessment Sciences at Utrecht University. Dr Westerink’s research group investigates the mechanisms of action of toxic substances on a cellular and molecular level using in vitro systems. Anke's project aimed to develop a human induced pluripotent stem cell (hiPSC)-derived neuronal model for in vitro neurotoxicity screening and seizure liability assessment. Using micro-electrode arrays (MEAs), she showed that these models mimic in vivo neuronal network activity. When these hiPSC-derived neurons are mixed with hiPSC-derived astrocytes, they can be used for in vitro seizure liability assessment. Comparing these data with data obtained from the current used model of ex vivo rodent cortical cultures, she found that these human cells outperform the rodent model. Here research thus contributes towards animal-free neurotoxicity testing.
Anke Tukker has won the public vote of the Hugo van Poelgeest prize 2020 for her research on human neuronal cell models for in vitro neurotoxicity screening and seizure liability assessment.
Neurotoxicology Research Group, IRAS, Utrecht University: https://ntx.iras.uu.nl/NTXatIras
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Questions
HelpathonsPolicyBeginner
Helpathon #12 – Can you help Erica?
We are inviting Dutch-speaking citizens from all walks of life to join a unique Helpathon and help Erica van Oort, coordinator of the Animal-Free Transition Program (TPI) in the Netherlands. No prior knowledge of animal testing is required—your fresh perspective can help Erica communicate more effectively about animal-free research.
We strongly believe that well-informed citizens are key to improving democratic policy-making on health research, with and without animals. Please share this invitation to at least one suitable person who could contribute—and of course, you are warmly welcome to join as well.
Projects and initiatives
HealthToxicology
The NAM Navigator: A unique repository for information on the validation and acceptance of New Approach Methodologies
The NAM navigator is an innovative knowledge portal to navigate you to and through valuable information on the development, standardization, validation and acceptance of New Approach Methodologies (NAM). The NAM Navigator acts as an online guide that provides specific information needed in each of these steps, thereby increasing the broad use of animal-free innovations. Follow the link in the video to start navigating!
Projects and initiatives
HealthToxicologyIn vitroIn silico
VHP4Safety project
The safety testing of chemicals and pharmaceuticals traditionally relies on animal studies. However, these raise ethical concerns and often fail to accurately predict human responses. New scientific developments offer opportunities to build a Virtual Human Platform (VHP) for safety assessment, a platform that enables assessment based solely on human physiology and biology, integrating data from in vitro and in silico models. This video explains how we are developing the VHP through an interdisciplinary approach. Read the paper in the videolink or visit or VHP4Safety (https://vhp4safety.nl/) for more information.
Innovation examples
HealthToxicologyIn silico
AI agents for safer science: How AI is Changing Chemical Risk Assessment
This video introduces a novel approach to chemical safety, where intelligent digital agents guided by large language models support scientists in making faster, more transparent decisions. By automating complex workflows and integrating tools like the OECD QSAR Toolbox, these agentic systems help prioritise research, reduce reliance on animal testing, and pave the way for safer, more sustainable innovation.